{"url":"/dataset/tss","name":"TSS","full_name":null,"description_markdown":"dataset of 400 image pairs","description_withheld":null,"homepage":"https://taniai.space/projects/cvpr16_dccs/","introduced_date":"2016-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/joint-recovery-of-dense-correspondence-and","title":"Joint Recovery of Dense Correspondence and Cosegmentation in Two Images","first_author":"Tatsunori Taniai","url":null},"license":null,"modalities":[],"tasks":[{"name":"Dense Pixel Correspondence Estimation","url":"/task/dense-pixel-correspondence-estimation","datasets_with_task":"/datasets/task/dense-pixel-correspondence-estimation"}],"languages":[],"variants":["TSS"],"data_loaders":[],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/dense-pixel-correspondence-estimation-on-tss","task":"Dense Pixel Correspondence Estimation","dataset_variant":"TSS","rows":1,"metrics":["Average PCK@0.05"],"first_row_in_archive_order":{"model":"SD+DINO (Zero-shot)","paper":"/paper/a-tale-of-two-features-stable-diffusion","metrics":{"Average PCK@0.05":"79.7"},"code_links":[{"title":"Junyi42/sd-dino","url":"https://github.com/Junyi42/sd-dino"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-tale-of-two-features-stable-diffusion","title":"A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence","date":"2023-05-24","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}